Data Analysis Engineer, Advance data analyzing starting from posing questions, wrangling & assessing data frames and find conclusions then visualizing findings using graphs and charts.
Using various tools:
1- Python with the supporting libraries e.g (NumPy, pandas, matplotlib, seaborn), with notebook jupyter.
2- Microsoft Excel sheets.
Services:
Data analyzing, data cleaning and formatting, data wrangling, posing question and answering them to get findings and visualization, web scraping.
Personal info:
Mechanical Engineer graduate with motivated solving the complicated problems with analytics view.
This drives me towards data analysis as it all starts with the simple question " How to evaluate the technical office engineer with numbers", and no one manages to answer me.
Then I hear about data analysis, as it's kind of magic how to convert punch of numbers to insights, in which we can evaluate past and predict future.